{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Using Theano backend.\n"
     ]
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "\n",
    "import math\n",
    "import warnings\n",
    "import numpy as np\n",
    "\n",
    "# specify to ignore warning messages\n",
    "warnings.filterwarnings(\"ignore\") \n",
    "\n",
    "import keras\n",
    "from lstm_utils import get_raw_data\n",
    "from lstm_utils import get_reg_model\n",
    "from lstm_utils import plot_reg_results\n",
    "from lstm_utils import get_reg_train_test\n",
    "from lstm_utils import predict_reg_multiple\n",
    "\n",
    "from sklearn.metrics import mean_squared_error"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "sns.set_style('whitegrid')\n",
    "sns.set_context('talk')\n",
    "\n",
    "params = {'legend.fontsize': 'x-large',\n",
    "          'figure.figsize': (15, 5),\n",
    "          'axes.labelsize': 'x-large',\n",
    "          'axes.titlesize':'x-large',\n",
    "          'xtick.labelsize':'x-large',\n",
    "          'ytick.labelsize':'x-large'}\n",
    "\n",
    "plt.rcParams.update(params)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Set Parameters"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "WINDOW = 6\n",
    "PRED_LENGTH = int(WINDOW/2)\n",
    "STOCK_INDEX = '^GSPC'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Getting Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1c63735b278>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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LEdPXF88vHo9zORV4d/MJlFXpMLeV4CG6rw/cJIDRBEwfHYHE/gGIi/RHXX3z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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1c63134c908>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sp_df = get_raw_data(STOCK_INDEX)\n",
    "sp_close_series = sp_df.Close \n",
    "\n",
    "sp_close_series.plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Preprocessing Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Data Split Complete\n",
      "x_train shape=(2522, 6, 1)\n",
      "y_train shape=(2522,)\n",
      "x_test shape=(280, 6, 1)\n",
      "y_test shape=(280,)\n"
     ]
    }
   ],
   "source": [
    "x_train,y_train,x_test,y_test,scaler = get_reg_train_test(sp_close_series,\n",
    "                                                      sequence_length=WINDOW+1,\n",
    "                                                      roll_mean_window=None,\n",
    "                                                      normalize=True,\n",
    "                                                      scale=False)\n",
    "    \n",
    "print(\"Data Split Complete\")\n",
    "\n",
    "print(\"x_train shape={}\".format(x_train.shape))\n",
    "print(\"y_train shape={}\".format(y_train.shape))\n",
    "print(\"x_test shape={}\".format(x_test.shape))\n",
    "print(\"y_test shape={}\".format(y_test.shape))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Prepare LSTM Model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model Build Failed. Trying Again\n",
      "> Compilation Time :  0.008021354675292969\n",
      "_________________________________________________________________\n",
      "Layer (type)                 Output Shape              Param #   \n",
      "=================================================================\n",
      "lstm_2 (LSTM)                (None, 6, 50)             10400     \n",
      "_________________________________________________________________\n",
      "dropout_1 (Dropout)          (None, 6, 50)             0         \n",
      "_________________________________________________________________\n",
      "lstm_3 (LSTM)                (None, 100)               60400     \n",
      "_________________________________________________________________\n",
      "dropout_2 (Dropout)          (None, 100)               0         \n",
      "_________________________________________________________________\n",
      "dense_1 (Dense)              (None, 1)                 101       \n",
      "_________________________________________________________________\n",
      "activation_1 (Activation)    (None, 1)                 0         \n",
      "=================================================================\n",
      "Total params: 70,901\n",
      "Trainable params: 70,901\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n",
      "None\n"
     ]
    }
   ],
   "source": [
    "lstm_model=None\n",
    "try:\n",
    "    lstm_model = get_reg_model(layer_units=[50,100],\n",
    "                           window_size=WINDOW)   \n",
    "except:\n",
    "    print(\"Model Build Failed. Trying Again\")\n",
    "    lstm_model = get_reg_model(layer_units=[50,100],\n",
    "                           window_size=WINDOW)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Fit the Model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train on 2395 samples, validate on 127 samples\n",
      "Epoch 1/20\n",
      "2395/2395 [==============================] - 1s - loss: 2.4231e-04 - val_loss: 4.0135e-05\n",
      "Epoch 2/20\n",
      "2395/2395 [==============================] - 1s - loss: 1.1636e-04 - val_loss: 3.9069e-05\n",
      "Epoch 3/20\n",
      "2395/2395 [==============================] - 2s - loss: 9.7342e-05 - val_loss: 2.8527e-05\n",
      "Epoch 4/20\n",
      "2395/2395 [==============================] - 2s - loss: 9.4975e-05 - val_loss: 5.5308e-05\n",
      "Epoch 5/20\n",
      "2395/2395 [==============================] - 2s - loss: 9.1180e-05 - val_loss: 2.9796e-05\n",
      "Epoch 6/20\n",
      "2395/2395 [==============================] - 2s - loss: 8.8870e-05 - val_loss: 2.8242e-05\n",
      "Epoch 7/20\n",
      "2395/2395 [==============================] - 2s - loss: 8.8455e-05 - val_loss: 2.8539e-05\n",
      "Epoch 8/20\n",
      "2395/2395 [==============================] - 2s - loss: 8.9470e-05 - val_loss: 2.6032e-05\n",
      "Epoch 9/20\n",
      "2395/2395 [==============================] - 2s - loss: 8.6262e-05 - val_loss: 2.5722e-05\n",
      "Epoch 10/20\n",
      "2395/2395 [==============================] - 2s - loss: 8.7818e-05 - val_loss: 3.6351e-05\n",
      "Epoch 11/20\n",
      "2395/2395 [==============================] - 2s - loss: 8.5980e-05 - val_loss: 2.7881e-05\n",
      "Epoch 12/20\n",
      "2395/2395 [==============================] - 2s - loss: 8.5879e-05 - val_loss: 2.5486e-05\n",
      "Epoch 13/20\n",
      "2395/2395 [==============================] - 2s - loss: 8.6415e-05 - val_loss: 4.7608e-05\n",
      "Epoch 14/20\n",
      "2395/2395 [==============================] - 2s - loss: 8.5514e-05 - val_loss: 6.9495e-05\n",
      "Epoch 15/20\n",
      "2395/2395 [==============================] - 2s - loss: 8.1934e-05 - val_loss: 3.1151e-05\n",
      "Model Fit Complete\n"
     ]
    }
   ],
   "source": [
    "# use eatrly stopping to avoid overfitting     \n",
    "callbacks = [keras.callbacks.EarlyStopping(monitor='val_loss',\n",
    "                                           patience=2,\n",
    "                                           verbose=0)]\n",
    "lstm_model.fit(x_train, y_train, \n",
    "               epochs=20, batch_size=16,\n",
    "               verbose=1,validation_split=0.05,\n",
    "               callbacks=callbacks)\n",
    "print(\"Model Fit Complete\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Train Prediction Performance"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train Score: 0.02 RMSE\n"
     ]
    }
   ],
   "source": [
    "train_pred_seqs = predict_reg_multiple(lstm_model,\n",
    "                                             x_train,\n",
    "                                             window_size=WINDOW,\n",
    "                                             prediction_len=PRED_LENGTH)\n",
    "\n",
    "train_offset = y_train.shape[0] - np.array(train_pred_seqs).flatten().shape[0]\n",
    "\n",
    "train_rmse = math.sqrt(mean_squared_error(y_train[train_offset:], \n",
    "                                          np.array(train_pred_seqs).\\\n",
    "                                          flatten()))\n",
    "print('Train Score: %.2f RMSE' % (train_rmse))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Test Prediction Performance"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test Score: 0.01 RMSE\n"
     ]
    }
   ],
   "source": [
    "test_pred_seqs = predict_reg_multiple(lstm_model,\n",
    "                                      x_test,\n",
    "                                      window_size=WINDOW,\n",
    "                                      prediction_len=PRED_LENGTH)\n",
    "test_offset = y_test.shape[0] - np.array(test_pred_seqs).flatten().shape[0]\n",
    "\n",
    "test_rmse = math.sqrt(mean_squared_error(y_test[test_offset:], \n",
    "                                          np.array(test_pred_seqs).\\\n",
    "                                          flatten()))\n",
    "print('Test Score: %.2f RMSE' % (test_rmse))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plot Test Predictions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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99+x+3+HDh2PHjh2YNm0aCgsL8fvvv6OgoAAPPvggvv/+eymQBPQPbR544AEA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\n0pvw4rcv4v4992PN4jXsY+bXaajVaoEioFQqB0TA4Qxv7K8U6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aP3wWw202OQIEKROyPJ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\nYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1c620c3d5c0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_reg_results(test_pred_seqs,y_test,prediction_len=PRED_LENGTH)"
   ]
  }
 ],
 "metadata": {
  "anaconda-cloud": {},
  "kernelspec": {
   "display_name": "Python [default]",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.5.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
